
Staff Platform Engineer, AI
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.1
Reclaim your time by letting our AI handle the grunt work of job searching.
We continuously scan millions of openings to find your top matches.

Overview
Job Description
YOUR MISSION
AI-assisted work is the biggest force multiplier available to a company at True Anomaly's stage. It accelerates how we build, how we deliver, and how we scale. We are investing in AI as a core operating capability, not a side experiment, and this role exists to make that investment real.
As a Staff AI Platform Engineer, you will be one of the first hires to build the infrastructure, tooling, and integrations that put AI directly into the hands and workflows of every team across the company. This is not a research role. It is a building role. You will ship capabilities that engineers, program managers, operators, and business teams use every day to move faster and produce better work.
The scope is broad by design. You may be standing up on-premises GPU infrastructure one week, building connectors between AI models and internal systems the next, and developing a custom application for a specific business workflow after that. You will make platform-level technical decisions about which AI providers, tools, and architectures to adopt. You will also own AI training and enablement for the company, running office hours, brown bags, and building the resources that help people get real value from these tools.
This role reports to the Chief Security Officer and works across every function. You will have significant autonomy, direct access to executive leadership, and the opportunity to define how a fast-growing defense technology company operates with AI.
RESPONSIBILITIES
- Build and maintain AI platform infrastructure: API integrations, model access pipelines, system connectors (MCP, tool use), and on-premises compute environments as needed
- Develop custom AI-powered applications, workflows, and integrations that connect frontier models to internal systems such as project management, documentation, communications, and operational tools
- Own technical evaluation and selection of AI providers, tools, and platforms, making build-vs-buy decisions based on capability, compliance requirements, and speed to value
- Design and deliver AI training and enablement programs for the company, including hands-on workshops, office hours, documentation, and shared resources that help teams build real fluency
- Partner with engineering, security, and IT teams to ensure AI deployments meet government security and compliance requirements across data classification levels
- Stay current with the rapidly evolving AI landscape and bring informed recommendations on new models, tools, and capabilities that could accelerate the company
QUALIFICATIONS
- Strong software engineering background with experience building and shipping production systems, ideally in Python, TypeScript, or similar languages common in AI/ML tooling
- Hands-on experience with large language model APIs, including prompt engineering, tool use, retrieval-augmented generation (RAG), and agent frameworks
- Experience building integrations between AI systems and enterprise platforms (APIs, webhooks, data pipelines, authentication flows)
- Demonstrated ability to work across a broad technical surface area, context-switching between infrastructure, application development, and platform architecture
- Strong communication skills and ability to translate technical AI concepts for non-technical audiences through training, documentation, and direct support
- Self-directed and comfortable operating with high autonomy in a fast-paced environment where priorities shift and the playbook is being written in real time
- Ability to maintain or obtain TS//SCI clearance
PREFERRED SKILLS AND EXPERIENCE
- Experience deploying AI or ML systems in government, defense, or regulated environments with security and compliance constraints
- Familiarity with government cloud environments (AWS GovCloud, Azure Government) and authorization frameworks (FedRAMP, IL4/IL5)
- Experience with on-premises GPU infrastructure (NVIDIA, CUDA) for model hosting or fine-tuning
- Background in developer tooling, platform engineering, or internal tools teams at high-growth technology companies
- Experience building knowledge retrieval systems, embedding pipelines, or enterprise search infrastructure
- Currently hold or have previously held a U.S. security clearance at any level
COMPENSATION
- Base Salary: $175,000 - $250,000
- Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.
ADDITIONAL REQUIREMENTS
- Work Location-while we observe a hybrid work environment, you will need to be onsite as the business needs require. On an average week, you can expect to spend at least 3 days per week in office.
- Work environment-the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
- Physical demands-the physical demands of the job, including bending, sitting, lifting and driving.
This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Hybrid
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
